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On 2/20/2013 5:10 PM, Vincent Lefevre
wrote:
I assume that it is well known to this readership that forOn 2013-02-20 10:49:06 -0500, Michel Hack wrote:The reason for requiring at least the primitive operations to return the tightest enclosure is because slop tends to grow rather fast in certain cases, so when exact point intervals are possible (zero slop), they should be exploited.A recommendation should be sufficient in some cases (implicit interval types could be used for that). Multiple precision without tightest enclosure will generally give narrower intervals than fixed precision with tightest enclosure. The main exception is when a bound can be computed exactly in fixed precision (exact point intervals are a particular case of such intervals). continuous functions it's possible to sometimes get tighter enclosures that naive evaluation gives, by subdivision, perhaps repeatedly. That is let f(x):= x*(x+4)*(x-4) evaluated on [-5,5]. Naively one gets f([-5,5]) = [-405, 405] however by noting that one can look at f([-5,0])=[-45,180] and f([0,5])=[-180,45], immediately improving the min and max over [-5,5] to [-180,180]. (and repeating this, recursively subdividing) one can find a tighter interval is [-45, 45]. My concern here is that there is a potentially more versatile approach other than wringing every last bit out of a single interval evaluation. This is not necessarily cheap if you need to subdivide n times at cost 2^n worst case, though the cost is sometimes much better. This subdivision strategy might be used to compute those troublesome literal constants that the text2interval(<complicated string>) were intended to do, but perhaps can be done more simply by function application on intervals computing min and max via subdivision to high accuracy. Just a thought. RJF |